Evidence map›Paper›PMID 35504024›Full record

ArticleAging2022

Lixia Fan, Wanqin Liao, Zezhen Chen, Shaojing Li, Anping Yang, Min-Min Chen, Hui Liu, Fang Liu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Lixia FanDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Wanqin LiaoDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Zezhen ChenDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Shaojing LiDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Anping YangDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Min-Min ChenDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Hui LiuDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Fang LiuDepartment of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, Guangdong, China.
Foshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent therapeutic strategies on patients with lymphomas remains limited. Previously we found the suppressive effect of

methodsCCK-8 assay was applied to detect the effect of OPE on cell proliferation. Flow cytometry was used to analyze the effect of OPE on cell cycle distribution and apoptosis. Xenograft mouse model was conducted to determine the anti-tumor activity of OPE. TNUEL assay was performed to detect the apoptosis in tumor tissues. Western blot and immuno-histochemistry were used to determine protein expression.

results

conclusionsOur data showed that OPE suppressed the proliferation of lymphoma cells and promoted apoptosis

Indexed as

Liver NeoplasmsLymphomaAnimalsApoptosisCell Line, TumorCell ProliferationErbB ReceptorsHumansMiceMice, NudePlant ExtractsXenograft Model Antitumor AssaysErbB ReceptorsPlant Extractsanti-cancer activityEGFRlymphomaOphiorrhiza pumila extractproliferation

Identifiers

PMID35504024
PMCPMC9134945
OpenAlexW4225424769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.